Applied AI · LLM Infrastructure
Deepark helps enterprises turn frontier models into reliable software. We build LLM orchestration, retrieval, evaluation and agent infrastructure that meets real production SLAs �secure, observable, and cost-aware.
What we build
We work across the full LLM application stack �from data ingestion and retrieval, to orchestration, evaluation, and safe deployment. Opinionated defaults, no vendor lock-in.
Hybrid search, chunking strategies, re-rankers, and freshness pipelines that keep answers grounded in your own data.
Durable workflows, tool use, guardrails, and multi-agent routing �built on top of best-in-class foundation models.
Offline/online evals, regression dashboards, latency and cost tracing. You see what the model actually does in production.
Policy enforcement, PII redaction, prompt-injection defense, model-routing by data residency and risk tier.
Fine-tuning pipelines, prompt versioning, A/B routing across providers, and a caching layer that pays for itself.
Cloud, VPC, or on-device inference. Route workloads between providers and open-weight models based on policy and cost.
Products
A managed LLM runtime. Bring your own models and data, get prompt versioning, evals, tracing, caching, and compliance out of the box.
A workflow engine for durable agents. Define tools, policies, and recovery logic; run long-lived tasks with full observability.
We partner with teams that are serious about production. Tell us what you're building.